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QuestionQ91

Designing and planning a cloud solution architecture

TerramEarth has outfitted all connected trucks with servers and sensors that collect telemetry data. Next year, they intend to use the data to train machine-learning models. They want to store this data in the cloud while lowering costs.

What should they do?

  • A Have the vehicle's computer compress the data in hourly snapshots, and store it in a Google Cloud Storage (GCS) Nearline bucket
  • B Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery
  • C Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable
  • D Have the vehicle's computer compress the data in hourly snapshots, and store it in a GCS Coldline bucket
Explanation

Cloud Storage Coldline is a very-low-cost, durable storage class for infrequently accessed data and is intended for data read or modified no more than once per quarter. Retaining compressed telemetry snapshots for model training the following year satisfies its 90-day minimum storage duration and minimizes at-rest storage cost compared with Nearline. Google Cloud Storage classes

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